Waterloo.AI hosts monthly seminar series to foster discussion and collaboration around active topics of AI research at the University of Waterloo. Each seminar includes a talk by a guest speaker audience discussion, and a following reception with light refreshments for further discussion and networking. Please click the topic links for details. Past seminar recordings are available on YouTube.
Upcoming Seminars
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Date |
Speaker |
Topic |
Image |
|---|---|---|---|
| April 29, 2024 | Dr. Ladan Khoshnevisan | Towards Guaranteed Artificial Intelligence Methods |
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Past Seminars
Winter 2024
| Date | Speaker | Topic | Video |
|---|---|---|---|
| February 2, 2024 | Dr. Kevin He | Learning from Viral Content |
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| February 21, 2024 | Dr. Max Li | Uncertainties in the Airspace |
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| March 4th, 2024 | Saber Jafarpour | Safety Assurance in Learning-enabled Autonomous Systems |
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| March 6th, 2024 | Jana Pavlasek | Think Graphical Act Local |  |
| March 7th, 2024 | Jun Gao | Generative AI for 3D Content |  |
| March 12th, 2024 | Krikamol Muandet | Towards Imprecise Generalisation |  |
| March 11th, 2024 | Dr. Jeremy Wang | Ribbit — Canada's first autonomous airplane and R&D platform |
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| March 20, 2024 | Roya Fallah Firoozi | Safe Robot Autonomy |
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| March 27th, 2024 | Lunjia Hu | Mathematical Foundations for Trustworthy Machine Learning |
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| April 1st, 2024 | Sarah Cen | Paths to AI Accountability |
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| April 3rd, 2024 | Misha Khodak | The Long Tail of AI |
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| April 12th, 2024 | Adam Dziedzic | Private Prompt Learning for LLM |
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| April 12th, 2024 | Franziska Boenisch | Individualized Privacy and Memorization in Machine Learning Models |
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Fall 2023
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Dec. 5th, 2023 | Prof. Apurva Narayan | Improving Resilience and Trust in AI Driven Cyber Physical Systems |
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| Nov. 24th, 2023 | Prof. Han Zhao | Fair and Optimal Prediction via Post-Processing |
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| Nov. 2nd, 2023 | Prof. Lila Kari | Machine Learning for Biodiversity Informatics |
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| Sept. 18th, 2023 | Prof. Mo Chen | Interpretable Reinforcement Learning through Control and Human-Robot Interactions |
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Spring 2023
| Date | Speaker | Topic | Video | |
|---|---|---|---|---|
| July. 21st, 2023 | Prof. Baoxiang Wang | Information Design in Multi-Agent Reinforcement Learning |
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July. 7th, 2023 |
Prof. Lili Mou | Modelling Uncertainty in Text Generation |
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June. 6th, 2023 |
Prof. Gennaro Notomista | Learning to Execute Prioritized Stacks of Robotic Tasks |
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May. 10th, 2023 |
Dr. Prashant Doshi | Fully Decentralized RL in Complex Multi-Agent Settings |
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Fall 2022
| Date | Speaker | Topic | Video | |
|---|---|---|---|---|
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Dec.8th, 2022 |
Dr. Ali Ayub | Long-term Real World Autonomy Assistance for Assistive Robots |
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| Nov. 10th, 2022 |
Boris Ivanovic Research Scientist in Nvidia's Autonomous Vehicle Research Group | Effectively Integrating Behavior Prediction within the Modern Robotic Autonomy Stack |
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| Oct. 13th, 2022 | Prof. Abbas Houssam, Oregon State University | Logic-Based Computational Ethics for Autonomous Agents |
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| Sept. 8th, 2022 | Dr. Radoslav Ivanov | Safe autonomy within reach: a verified machine learning and control perspectiv |
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SPRING 2022
WINTER 2022
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Mar. 17, 2022 | Prof. Dorsa Sadigh | Learning from Non-Traditional Souces of Data |
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| Mar. 3, 2022 | Prof. Jackie C. K. Cheung | Keeping Track of Entities Over Time, Minds, and Knowledge Sources |
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| Feb. 3, 2022 | Prof. Martha White | Developing Reinforcement Learning Agents that Learn Many Subtasks |
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FALL 2021
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Nov. 9, 2021 | Prof. Elias Khalil | Deep Reinforcement Learning for Online Combinatorial Optimization: The Case of Bipartite Matching |
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SPRING 2021
| Date | Speaker | Topic | Video |
|---|---|---|---|
| May 18, 2021 | Prof. Katja Mombaur | Embodied intelligence for human-centred robots - Combining model-based optimization with model-free methods |
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WINTER 2021
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Apr. 20, 2021 | Animesh Garg | Building blocks of Generalizable Autonomy in Robotics |
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| Apr. 6, 2021 | Andreas Loukas | Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs |
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| Mar. 9, 2021 | Dr. Thomas Dietterich | Providing Prospective Guarantees on the Performance of MDP Policies |
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| Jan. 12, 2021 | Dr. Mark Riedl | The Quest for Automated Story Generation |
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FALL 2020
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Dec. 1, 2020 | Prof. Graham Taylor | Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation |
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| Nov. 19, 2020 | Prof. Peter van Beek, Prof. Hamid Tizhoosh, Prof. Kate Larson, Prof. Wayne Chang, Kevin Tuer (Communitech), & Prof. Charles Clarke | AI for Managers and Executives - Webinar Series Pt.3 - Preparing Your Organization to Leverage AI at Scale |
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| Nov. 5, 2020 |
Prof. Peter van Beek, Prof. Wayne Chang & Prof. Pascal Poupart Graduate Students: |
AI for Managers and Executives - Webinar Series Pt. 2 - From the Lab to Production |
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| Nov. 3, 2020 | Dr. Emtiyaz Khan | Towards Life-Long Deep Learning with Bayes |
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| Oct. 29, 2020 | Prof. Vijay Ganesh | Machine Learning and Logic Solvers: The Next Frontier | |
| Oct. 22, 2020 | Prof. Fakhri Karray & Prof. Hamid Tizhoosh | AI for Managers and Executives - Webinar Series Pt. 1 - Separating Fact From Fiction |
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| Oct. 6, 2020 | Prof. Taylor | Reinforcement learning in the real world - how to "cheat" and still feel good about it |
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| Sept. 15, 2020 | Dr. Ashkan Sami | Dependability and Security and How to Improve Both at the Same Time |
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WINTER 2020
FALL 2019
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Dec. 6, 2019 | Qiang Liu | Recent Applications of Stein's Method in Machine Learning | |
| Dec. 5, 2019 | Kristian Kersting | Deep Machines That Know When They Do not Know | |
| Nov. 22, 2019 |
Paul Hebert |
Progress Towards Planetary Biosurveillance | |
| Nov. 8, 2019 | Chris Eliasmith | Spiking Neural Networks for More Efficient AI Algorithms |
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| Oct. 4, 2019 | Pascal Poupart | Unsupervised Video Object Segmentation for Deep Reinforcement Learning |
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| Sept. 12, 2019 | Mark Crowley | Artificial Intelligence on Fire! |
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SPRING 2019
WINTER 2019
FALL 2018
Organizing committee
Department of Electrical and Computer Engineering at the University of Waterloo.